[HTML][HTML] Enhancing flow stress predictions in CoCrFeNiV high entropy alloy with conventional and machine learning techniques

SK Dewangan, R Jain, S Bhattacharjee, S Jain… - Journal of Materials …, 2024 - Elsevier
A machine learning technique leveraging artificial intelligence (AI) has emerged as a
promising tool for expediting the exploration and design of novel high entropy alloys (HEAs) …

Leveraging machine learning to minimize experimental trials and predict hot deformation behaviour in dual phase high entropy alloys

S Jain, R Jain, KR Rao, A Bhowmik - Materials Today Communications, 2024 - Elsevier
In recent time, high entropy alloys (HEAs) are widely used due to their wide design space
and remarkable properties allowing a vast range of property variations with myriads of …

[HTML][HTML] Data-driven design of high bulk modulus high entropy alloys using machine learning

S Jain, R Jain, V Kumar, S Samal - Journal of Alloys and Metallurgical …, 2024 - Elsevier
In the current research, machine learning (ML) models were used as a tool for predicting the
bulk modulus of High Entropy Alloys (HEAs). ML was employed to optimize HEA …

A Comprehensive Review on Hot Deformation Behavior of High-Entropy Alloys for High Temperature Applications

R Jain, S Jain, C Nagarjuna, S Samal… - Metals and Materials …, 2025 - Springer
In contrast to conventional alloys, multicomponent high-entropy alloys (HEAs) have
emerged as promising candidates in the field of advanced materials because of their unique …

[HTML][HTML] Machine learning-driven insights into phase prediction for high entropy alloys

R Jain, S Jain, SK Dewangan, LK Boriwal… - Journal of Alloys and …, 2024 - Elsevier
The unique properties of high-entropy alloys (HEAs) have attracted considerable attention,
largely due to their dependence on the choice among three distinct phases: solid solution …

Harnessing machine learning for predictive modelling of high entropy alloy phases

R Jain, S Jain, RK Pathak, Y Jain, LK Boriwal… - MRS Advances, 2024 - Springer
The application of classification-based machine-learning techniques offers a faster
approach to designing high entropy alloys (HEAs). In this study, we have established a …

Microstructural Evolution and Mechanical Properties of Crcofemnni High-Entropy Alloys Under Femtosecond Laser Ablation: A Molecular Dynamics Approach

D Li, H Shi, D Liang, Z Liang, L Zhang, W Ding… - Available at SSRN … - papers.ssrn.com
High-entropy alloys (HEA) represent a significant advancement in the field of alloy theory,
distinguished by their exceptional properties, including high hardness, strength, plasticity …